The case deals with ethical issues in marketing in a larger context encountered while managing channels. Freedom AV Life Insurance, established in 2002, was a laggard in terms of revenue generation ...among private life insurers in the country. A new CEO, Ramesh Ramachandran, was hired to improve revenues, which drastically improved post his joining and upon on him hiring a new sales head. However, customer grievances multiplied, and Rajesh Bhardwaj, the customer services head, was questioned by the CEO and was asked to submit an action plan to stem the rising complaints. Bhardwaj felt this was the result of mis-selling by agents and the salesforce of the company. Bhardwaj proposed a solution by emailing the sales head. Just as he had finished writing the mail, he was surprised to find a new mail from the CEO asking him to prepare a presentation before the company’s board of directors in two days. At the end of the case, Bhardwaj becomes engulfed with self-doubt and anxiety on what to present before the board members. The case deals with ethical issues in marketing financial products like life insurance and looks at solutions to the practice of mis-selling financial services. Students would attempt to find answers to the question of whether they can achieve sales goals without resorting to unethical practices.
The purpose of this paper is to investigate the valuation of equity-linked death benefit contracts and the multiple life insurance on two heads based on a joint survival model. Using the exponential ...Wiener process assumption for the stock price process and a Ksub.n distribution for the time until death, we provide explicit formulas for the expectation of the discounted payment of the guaranteed minimum death benefit products, and we derive closed expressions for some options and numerical illustrations. We investigate multiple life insurance based on a joint survival using the bivariate Sarmanov distribution with Ksub.n (i.e., the Laplace transform of their density function is a ratio of two polynomials of degree at most) marginal distributions. We present analytical results of the joint-life status.
This study has been undertaken in order to estimate the impact on IRDA guidelines on customer satisfaction in the life insurance sector from the time of its inception in 1999 to the IRDA Amendment ...(The Insurance Laws Act) of 2015. In order to accomplish the research aim and objectives appropriately, a thematic framework has been implemented that aspires to conduct quantitative analysis of the primary data collected in relation to the research topic through questionnaire-based survey. Further, comparative survey of customer confidence on IRDA guidelines pertaining to pre- and post-IRDA regulation 2017 has been made in the study. The study findings confirm that IRDA guidelines, that is, transparent and make clear specifications on aggressive online selling by insurance companies, provide outsourcing guideline for them, direct the customers on timely settlement of claims without delay, and are abided by the mandate of Government of India to link PAN and Aadhaar card of the consumers to their policies show significantly positive impact on consumer confidence. Simply put, there is significant increase in confidence post-2015 Amendment Act.
This study applies the dynamic slack-based measure (DSBM) model to evaluate the performance of 34 Chinese life insurance companies for the period 2006–2010. This study also examines the relationship ...between intellectual capital and performance using the truncated regression approach. Our findings indicate that over the period of the study, the mean efficiency scores of life insurers are relatively stable, ranging from 0.905 to 0.973. We verify that the efficiency scores of the DSBM model differ significantly from those of the traditional data envelopment analysis (DEA) model, which supports the use of the DSBM model. Our regression analysis reveals that intellectual capitals are significantly positively associated with firm operating efficiency. Our findings corroborate prior studies which show that intellectual capital can make a company rich. In this dynamic business world, life insurers' managers should invest and fully utilize intellectual capital to gain a competitive advantage.
•We utilize the dynamic slack-based measure (DSBM) model.•We evaluate changes in operating performance of Chinese life insurers over long-term periods.•Considering carry-over activities could lead to more accurate efficiency estimation.•We use the truncated regression with bootstrapping approach. We also present Tobit regression and robust cluster regression.•Intellectual capital has positive impacts on operating efficiency for Chinese life insurers.
We develop a pair of risk measures, health and mortality delta, for the universe of life and health insurance products. A life-cycle model of insurance choice simplifies to replicating the optimal ...health and mortality delta through a portfolio of insurance products. We estimate the model to explain the observed variation in health and mortality delta implied by the ownership of life insurance, annuities including private pensions, and long-term care insurance in the Health and Retirement Study. For the median household aged 51 to 57, the lifetime welfare cost of market incompleteness and suboptimal choice is 3.2% of total wealth.
•Development of an MLI policy lapse risk prediction model.•XGBoost outperformed other Machine Learning models in MLI lapse prediction.•The use of SHAP aids in model interpretability.•Bank data has ...proven critical to understanding lapse drivers.
Mortgage Life Insurance (MLI) offers lucrative opportunities for insurers. However, customer retention has proven to be a daunting challenge, particularly following the regulatory changes of 2009 in Europe. New market entrants strategically employing low-premium tactics have reshaped the competitive landscape, leading established insurers and banks to grapple with retaining their MLI clientele. Consequently, increasing policy lapses hold critical implications for these financial entities. Responding to this intricate landscape, our research presents a predictive model that pinpoints the MLI policies at risk of lapse and disentangles the underlying factors propelling this risk. The objective is to provide insurers with a practical and strategic tool to improve customer retention, enabling them to identify specific actions to reduce customer attrition, improve financial stability, and strengthen customer loyalty. We used a dataset obtained from an insurance company and its partner bank to build the model. The effectiveness of four machine learning models, namely Logistic Regression, Random Forest, Neural Networks, and XGBoost, is investigated, with XGBoost outperforming the others. SHapley Additive exPlanations (SHAP) were utilized to bolster interpretability, thereby facilitating the conception and explication of the predictive model’s most influential features. Underpinning the benefits of a nuanced exploration, the study’s focus on a solitary insurance protection product and integrating bank data enabled us to apprehend the multifaceted drivers of lapse behavior. The study accentuates the merit of comprehensive data encapsulating a holistic perspective, with the four most influential features originating from bank data. From an insurer’s standpoint, this research provides a strategic vantage point to proactively identify and engage with customers at risk of policy lapse and reformulate their policies to mitigate customer attrition.
El autor hace una exhaustiva revisión del denominado seguro de Vida Ley en el Perú desde el plano histórico-legal, revisando sus modificaciones, llegando a la última realizada el 2021 que devuelve ...los derechos conculcados a los cesantes y jubilados por una ley inconstitucional del 2010.
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